메뉴 건너뛰기




Volumn 7, Issue , 2006, Pages

Integrated analysis of gene expression by association rules discovery

Author keywords

[No Author keywords available]

Indexed keywords

ASSOCIATION RULES DISCOVERY; BIOLOGICAL INFORMATION; CO-OCCURRENCE PATTERN; EXPERIMENTAL CONDITIONS; GENE EXPRESSION DATASETS; HETEROGENEOUS SOURCES; MICROARRAY TECHNOLOGIES; TRANSCRIPTIONAL REGULATOR;

EID: 33644656960     PISSN: 14712105     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-7-54     Document Type: Article
Times cited : (108)

References (53)
  • 1
    • 24144449724 scopus 로고    scopus 로고
    • Applications of DNA Microarrays in Biology
    • Stoughton RB: Applications of DNA Microarrays in Biology. Annu Rev Biochem 2004.
    • (2004) Annu Rev Biochem
    • Stoughton, R.B.1
  • 2
    • 0034565168 scopus 로고    scopus 로고
    • Genes, themes and microarrays: Using information retrieval for large-scale gene analysis
    • Shatkay H, Edwards S, Wilbur WJ, Boguski M: Genes, themes and microarrays: using information retrieval for large-scale gene analysis. Proc Int Conf Intell Syst Mol Biol 2000, 8:317-328.
    • (2000) Proc Int Conf Intell Syst Mol Biol , vol.8 , pp. 317-328
    • Shatkay, H.1    Edwards, S.2    Wilbur, W.J.3    Boguski, M.4
  • 3
    • 0035367064 scopus 로고    scopus 로고
    • Whole-genome expression analysis: Challenges beyond clustering
    • Altman RB, Raychaudhuri S: Whole-genome expression analysis: challenges beyond clustering. Curr Opin Struct Biol 2001, 11:340-347.
    • (2001) Curr Opin Struct Biol , vol.11 , pp. 340-347
    • Altman, R.B.1    Raychaudhuri, S.2
  • 5
    • 0037810449 scopus 로고    scopus 로고
    • Subsystem identification through dimensionality reduction of large-scale gene expression data
    • Kim PM, Tidor B: Subsystem identification through dimensionality reduction of large-scale gene expression data. Genome Res 2003, 13:1706-1718.
    • (2003) Genome Res , vol.13 , pp. 1706-1718
    • Kim, P.M.1    Tidor, B.2
  • 6
    • 0034710876 scopus 로고    scopus 로고
    • Coupled two-way clustering analysis of gene microarray data
    • Getz G, Levine E, Domany E: Coupled two-way clustering analysis of gene microarray data. Proc Natl Acad Sci U S A 2000, 97:12079-12084.
    • (2000) Proc Natl Acad Sci U S A , vol.97 , pp. 12079-12084
    • Getz, G.1    Levine, E.2    Domany, E.3
  • 7
    • 0037057374 scopus 로고    scopus 로고
    • Exploring the conditional coregulation of yeast gene expression through fuzzy k-means clustering
    • Gasch AP, Eisen MB: Exploring the conditional coregulation of yeast gene expression through fuzzy k-means clustering. Genome Biol 2002, 3:1-22
    • (2002) Genome Biol , vol.3 , pp. 1-22
    • Gasch, A.P.1    Eisen, M.B.2
  • 8
    • 17244372135 scopus 로고    scopus 로고
    • Putting microarrays in a context: Integrated analysis of diverse biological data
    • Troyanskaya OG: Putting microarrays in a context: integrated analysis of diverse biological data. Brief Bioinform 2005, 6:34-43.
    • (2005) Brief Bioinform , vol.6 , pp. 34-43
    • Troyanskaya, O.G.1
  • 9
    • 0038313118 scopus 로고    scopus 로고
    • Strong-association-rule mining for large-scale gene-expression data analysis: A case study on human SAGE data
    • Becquet C, Blachon S. Jeudy B, Boulicaut JF, Gandrillon O: Strong-association-rule mining for large-scale gene-expression data analysis: a case study on human SAGE data. Genome Biol 2002, 3:1-16.
    • (2002) Genome Biol , vol.3 , pp. 1-16
    • Becquet, C.1    Blachon, S.2    Jeudy, B.3    Boulicaut, J.F.4    Gandrillon, O.5
  • 10
    • 0037245822 scopus 로고    scopus 로고
    • Mining gene expression databases for association rules
    • Creighton C, Hanash S: Mining gene expression databases for association rules. Bioinformatics 2003, 19:79-86.
    • (2003) Bioinformatics , vol.19 , pp. 79-86
    • Creighton, C.1    Hanash, S.2
  • 13
    • 27544508838 scopus 로고    scopus 로고
    • Analyzing microarray data using quantitative association rules
    • Georgii E, Richter L, Ruckert U, Kramer S: Analyzing microarray data using quantitative association rules. Bioinformatics 2005, 21(Suppl 2):ii123-ii129.
    • (2005) Bioinformatics , vol.21 , Issue.SUPPL. 2
    • Georgii, E.1    Richter, L.2    Ruckert, U.3    Kramer, S.4
  • 15
    • 0030669030 scopus 로고    scopus 로고
    • Exploring the metabolic and genetic control of gene expression on a genomic scale
    • DeRisi JL, Iyer VR, Brown PO: Exploring the metabolic and genetic control of gene expression on a genomic scale. Science 1997, 278:680-686.
    • (1997) Science , vol.278 , pp. 680-686
    • DeRisi, J.L.1    Iyer, V.R.2    Brown, P.O.3
  • 18
    • 84874663272 scopus 로고    scopus 로고
    • Engene
    • Engene [http://www.engene.cnb.uam.es]
  • 19
    • 84874661494 scopus 로고    scopus 로고
    • Web site for this work
    • Web site for this work [http://www.cnb.uam.es/~pcarmona/assocrules]
  • 22
    • 0029157385 scopus 로고
    • Stress-induced transcriptional activation
    • Mager WH. De Kruijff AJ: Stress-induced transcriptional activation. Microbiol Rev 1995, 59:506-531.
    • (1995) Microbiol Rev , vol.59 , pp. 506-531
    • Mager, W.H.1    De Kruijff, A.J.2
  • 24
    • 0033981095 scopus 로고    scopus 로고
    • RAP, RAP, open up! New wrinkles for RAPI in yeast
    • Morse RH: RAP, RAP, open up! New wrinkles for RAPI in yeast. Trends Genet 2000, 16:51-53.
    • (2000) Trends Genet , vol.16 , pp. 51-53
    • Morse, R.H.1
  • 25
    • 0028293432 scopus 로고
    • Suppression of yeast RNA polymerase III mutations by FHLI, a gene coding for a fork head protein involved in rRNA processing
    • Hermann-Le Denmat S, Werner M, Sentenac A, Thuriaux P: Suppression of yeast RNA polymerase III mutations by FHLI, a gene coding for a fork head protein involved in rRNA processing. Mol Cell Biol 1994, 14:2905-2913.
    • (1994) Mol Cell Biol , vol.14 , pp. 2905-2913
    • Hermann-Le Denmat, S.1    Werner, M.2    Sentenac, A.3    Thuriaux, P.4
  • 26
    • 11144231369 scopus 로고    scopus 로고
    • The transcription factor IfhI is a key regulator of yeast ribosomal protein genes
    • Wade JT, Hall DB, Struhl K: The transcription factor IfhI is a key regulator of yeast ribosomal protein genes. Nature 2004, 432:1054-1058.
    • (2004) Nature , vol.432 , pp. 1054-1058
    • Wade, J.T.1    Hall, D.B.2    Struhl, K.3
  • 27
    • 11144244771 scopus 로고    scopus 로고
    • Growth-regulated recruitment of the essential yeast ribosomal protein gene activator Ifhl
    • Schawalder SB, Kabani M, Howald I, Choudhury U, Werner M, Shore D: Growth-regulated recruitment of the essential yeast ribosomal protein gene activator IfhI. Nature 2004, 432:1058-1061.
    • (2004) Nature , vol.432 , pp. 1058-1061
    • Schawalder, S.B.1    Kabani, M.2    Howald, I.3    Choudhury, U.4    Werner, M.5    Shore, D.6
  • 28
    • 11144319955 scopus 로고    scopus 로고
    • Ribosome biogenesis: Giant steps for a giant problem
    • Powers T: Ribosome biogenesis: giant steps for a giant problem. Cell 2004, 119:901-902.
    • (2004) Cell , vol.119 , pp. 901-902
    • Powers, T.1
  • 29
    • 11144273952 scopus 로고    scopus 로고
    • TOR regulates ribosomal protein gene expression via PKA and the Forkhead transcription factor FHLI
    • Martin DE, Soulard A, Hall MN: TOR regulates ribosomal protein gene expression via PKA and the Forkhead transcription factor FHLI. Cell 2004, 119:969-979.
    • (2004) Cell , vol.119 , pp. 969-979
    • Martin, D.E.1    Soulard, A.2    Hall, M.N.3
  • 33
    • 0036791574 scopus 로고    scopus 로고
    • Intracellular cholesterol transport
    • Maxfield FR, Wustner D: Intracellular cholesterol transport. J Clin Invest 2002, 110:891-898.
    • (2002) J Clin Invest , vol.110 , pp. 891-898
    • Maxfield, F.R.1    Wustner, D.2
  • 34
    • 0030474081 scopus 로고    scopus 로고
    • Cell compartmentalization of cholesterol biosynthesis
    • Krisans SK: Cell compartmentalization of cholesterol biosynthesis. Ann N Y Acad Sci 1996, 804:142-164.
    • (1996) Ann N Y Acad Sci , vol.804 , pp. 142-164
    • Krisans, S.K.1
  • 35
    • 13244253770 scopus 로고    scopus 로고
    • Graph-based iterative Group Analysis enhances microarray interpretation
    • Breitling R, Amtmann A, Herzyk P: Graph-based iterative Group Analysis enhances microarray interpretation. BMC Bioinformatics 2004, 5:100.
    • (2004) BMC Bioinformatics , vol.5 , pp. 100
    • Breitling, R.1    Amtmann, A.2    Herzyk, P.3
  • 36
    • 0036061833 scopus 로고    scopus 로고
    • Pathway Processor: A tool for integrating whole-genome expression results into metabolic networks
    • Grosu P, Townsend JP, Hartl DL, Cavalieri D: Pathway Processor: a tool for integrating whole-genome expression results into metabolic networks. Genome Res 2002, 12:1121-1126.
    • (2002) Genome Res , vol.12 , pp. 1121-1126
    • Grosu, P.1    Townsend, J.P.2    Hartl, D.L.3    Cavalieri, D.4
  • 37
    • 21144455401 scopus 로고    scopus 로고
    • Effects of threshold choice on biological conclusions reached during analysis of gene expression by DNA microarrays
    • Pan KH, Lih CJ, Cohen SN: Effects of threshold choice on biological conclusions reached during analysis of gene expression by DNA microarrays. Proc Natl Acad Sci U S A 2005, 102:8961-8965.
    • (2005) Proc Natl Acad Sci U S A , vol.102 , pp. 8961-8965
    • Pan, K.H.1    Lih, C.J.2    Cohen, S.N.3
  • 38
    • 8844220454 scopus 로고    scopus 로고
    • Mining gene expression data for positive and negative co-regulated gene clusters
    • Ji L, Tan KL: Mining gene expression data for positive and negative co-regulated gene clusters. Bioinformatics 2004. 20:2711-2718.
    • (2004) Bioinformatics , vol.20 , pp. 2711-2718
    • Ji, L.1    Tan, K.L.2
  • 39
    • 0031161999 scopus 로고    scopus 로고
    • Beyond Market Baskets: Generalizing Association Rules to Correlations
    • 13-15 May 1997 Tucson, Arizona, USA
    • Brin S, Motwani R, Silverstein C: Beyond Market Baskets: Generalizing Association Rules to Correlations. In Proceedings of the ACM SIGMOD Conference; 13-15 May 1997 Tucson, Arizona, USA: 1997:265-276.
    • (1997) Proceedings of the ACM SIGMOD Conference , pp. 265-276
    • Brin, S.1    Motwani, R.2    Silverstein, C.3
  • 40
    • 4944252468 scopus 로고    scopus 로고
    • Using hidden Markov models to analyze gene expression time course data
    • Schliep A, Schonhuth A, Steinhoff C: Using hidden Markov models to analyze gene expression time course data. Bioinformatics 2003, 19(Suppl 1):1255-263.
    • (2003) Bioinformatics , vol.19 , Issue.SUPPL. 1 , pp. 1255-1263
    • Schliep, A.1    Schonhuth, A.2    Steinhoff, C.3
  • 47
    • 12344269924 scopus 로고    scopus 로고
    • TermFinder - Open source software for accessing Gene Ontology information and finding significantly enriched Gene Ontology terms associated with a list of genes
    • Boyle EI, Weng S, Gollub J, Jin H, Botstein D, Cherry JM, Sherlock G: GO: TermFinder - open source software for accessing Gene Ontology information and finding significantly enriched Gene Ontology terms associated with a list of genes. Bioinformatics 2004, 20:3710-3715.
    • (2004) Bioinformatics , vol.20 , pp. 3710-3715
    • Boyle, E.I.1    Weng, S.2    Gollub, J.3    Jin, H.4    Botstein, D.5    Cherry, J.M.6    Sherlock, G.G.O.7
  • 50
    • 0034098727 scopus 로고    scopus 로고
    • Systematic management and analysis of yeast gene expression data
    • Aach J. Rindone W, Church GM: Systematic management and analysis of yeast gene expression data. Genome Res 2000, 10:431-445.
    • (2000) Genome Res , vol.10 , pp. 431-445
    • Aach, J.1    Rindone, W.2    Church, G.M.3
  • 52
    • 84874646785 scopus 로고    scopus 로고
    • Serum database
    • Serum database [http://genome-www.stanford.edu/serum]
  • 53
    • 3242887152 scopus 로고    scopus 로고
    • Onto-Tools: An ensemble of web-accessible, ontology-based tools for the functional design and Interpretation of high-throughput gene expression experiments
    • Khatri P, Bhavsar P, Bawa G, Draghici S: Onto-Tools: an ensemble of web-accessible, ontology-based tools for the functional design and Interpretation of high-throughput gene expression experiments. Nucleic Acids Res 2004, 32:W449-456.
    • (2004) Nucleic Acids Res , vol.32
    • Khatri, P.1    Bhavsar, P.2    Bawa, G.3    Draghici, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.